Integrative analysis of multi-omics data reveals links between human diseases and the gut microbiota
Doctoral thesis, 2022

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multi-omics

gut microbiota

metabolic modeling

type 2 diabetes

machine learning

osteoporosis

metabolomics

Author

Peishun Li

Chalmers, Biology and Biological Engineering, Systems and Synthetic Biology

Included papers

Machine learning for data integration in human gut microbiome

Microbial Cell Factories,;Vol. 21(2022)

Review article

Peishun Li, Boyang Ji, Dimitra Lappa, Abraham S Meijnikman, Lisa M. Olsson, Ömrüm Aydin, et.al, Thue W. Schwartz, Fredrik Bäckhed, Max Nieuwdorp, Louise E. Olofsson, Jens Nielsen. Systems analysis of metabolic responses to a mixed meal test in an obese cohort reveals links between tissue metabolism and the gut microbiota. (Under revision in Communications Medicine)

Manuscript

Peishun Li*, Hao Luo*, Boyang Ji and Jens Nielsen. Metagenomic analysis of type 2 diabetes datasets identifies cross-cohort microbial and metabolic signatures. (Manuscript)

Manuscript

Popular science description

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Categorizing

Subject Categories (SSIF 2011)

Clinical Medicine

Microbiology in the medical area

Bioinformatics and Systems Biology

Identifiers

ISBN

978-91-7905-595-0

Other

Series

Doktorsavhandlingar vid Chalmers tekniska högskola. Ny serie: 5062

Publisher

Chalmers

Public defence

2022-02-02 14:00 -- 18:00

Konferensrummet 10’an, Forskarhus 1, Kemigården 4, Chalmers

Online

Opponent: Associate Prof. Mani Arumugam, University of Copenhagen, Denmark

More information

Latest update

11/12/2023